The research-to-product loop
RAXE Labs discovers threats. Intelligence turns them into enforceable protection. This creates a compounding advantage that grows with every new finding.
Comprehensive threat coverage
Adversarial ML
Model exploitation, jailbreaking, adversarial inputs, unsafe deserialisation, and techniques that abuse ML model behaviour or loading mechanisms.
Agent Security
AI agent tool-use abuse, MCP server vulnerabilities, sandbox escapes, path traversal via agentic workflows, and inter-agent communication attacks.
Supply Chain
Vulnerabilities in AI/ML frameworks, model registries, training pipelines, and third-party dependencies used across the AI software supply chain.
Prompt Injection
Direct and indirect prompt injection, instruction override, web-based injection against AI agents, and techniques to hijack LLM-powered applications.
1,000+ YAML-based signatures
Open, auditable, and continuously updated. Every signature is mapped to MITRE ATLAS techniques and OWASP LLM Top 10 categories.
id: raxe-pi-001
name: Direct System Prompt Override
severity: critical
stream: S1
mitre_atlas: AML.T0051
owasp_llm: LLM01
patterns:
- "ignore (all |any )?(previous |prior )?instructions"
- "disregard (your |the )?system prompt"
- "you are now (a |an )?[\\w]+ (mode|assistant)"
action: block
confidence: 0.95
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